In this section, we show an ablation analysis to justify the architectural choices we made, explore impact of feature backbone and investigate whether VAT is transferable to semantic correspondence task. Throughout this section, all the experiments are conducted on FSS-1000 [1]} datasets with ResNet-101 as backbone feature extractor unless specified. Each ablation experiment is conducted under same experimental setting for a fair comparison. For semantic correspondence ablation study, we use percentage of correct keypoints (PCK) as our evaluation metric.
